Zhonglin Xie

19.9k total citations · 1 hit paper
68 papers, 5.3k citations indexed

About

Zhonglin Xie is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Zhonglin Xie has authored 68 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Epidemiology and 18 papers in Cancer Research. Recurrent topics in Zhonglin Xie's work include Autophagy in Disease and Therapy (16 papers), Metabolism, Diabetes, and Cancer (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Zhonglin Xie is often cited by papers focused on Autophagy in Disease and Therapy (16 papers), Metabolism, Diabetes, and Cancer (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Zhonglin Xie collaborates with scholars based in United States, China and France. Zhonglin Xie's co-authors include Ming-Hui Zou, Chaoyong He, Ming‐Hui Zou, Krishna Singh, Yunzhou Dong, Benoı̂t Viollet, Changhan Ouyang, Mahipal Singh, Hongliang Li and Qilong Wang and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Medicine.

In The Last Decade

Zhonglin Xie

63 papers receiving 5.3k citations

Hit Papers

Improvement of Cardiac Functions by Chronic Metformin Tre... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhonglin Xie United States 34 3.1k 1.4k 1.1k 976 858 68 5.3k
Haichang Wang China 42 2.3k 0.7× 916 0.7× 1.4k 1.4× 894 0.9× 1.0k 1.2× 187 5.4k
Yasuhiro Maejima Japan 35 3.0k 1.0× 2.2k 1.5× 1.3k 1.3× 934 1.0× 697 0.8× 121 6.2k
Masanori Asakura Japan 41 2.6k 0.8× 613 0.4× 2.5k 2.4× 713 0.7× 1.3k 1.5× 216 6.5k
Gabriele G. Schiattarella Italy 33 2.1k 0.7× 980 0.7× 2.1k 2.0× 816 0.8× 605 0.7× 108 4.9k
Yukio Hiroi Japan 37 3.7k 1.2× 495 0.4× 2.0k 1.9× 654 0.7× 719 0.8× 110 5.4k
Yasuhiro Izumiya Japan 33 2.3k 0.8× 553 0.4× 1.3k 1.2× 1.1k 1.1× 512 0.6× 96 4.3k
Michael Schupp Germany 34 2.6k 0.8× 920 0.7× 782 0.7× 1.5k 1.5× 481 0.6× 66 4.8k
Yongzhong Wei United States 30 1.4k 0.5× 1.1k 0.8× 697 0.7× 1.4k 1.4× 479 0.6× 57 4.1k
Jean Sébastien Saulnier‐Blache France 39 3.5k 1.1× 714 0.5× 544 0.5× 1.4k 1.4× 824 1.0× 98 5.9k
Zhaoyong Hu United States 37 3.0k 1.0× 525 0.4× 509 0.5× 2.0k 2.1× 581 0.7× 81 5.6k

Countries citing papers authored by Zhonglin Xie

Since Specialization
Citations

This map shows the geographic impact of Zhonglin Xie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhonglin Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonglin Xie more than expected).

Fields of papers citing papers by Zhonglin Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhonglin Xie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhonglin Xie. The network helps show where Zhonglin Xie may publish in the future.

Co-authorship network of co-authors of Zhonglin Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonglin Xie. A scholar is included among the top collaborators of Zhonglin Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhonglin Xie. Zhonglin Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jian-guo, Wang, Junling Qu, Ruixuan Yi, et al.. (2025). Second-Harmonic and Sum-Frequency Generation in Silicon Nitride Photonics Integrated with Cadmium Sulfide Nanowire. ACS Photonics. 12(7). 3849–3855.
2.
Meng, Chao, Zhonglin Xie, Fanfan Lu, et al.. (2025). Fiber Vector Light-Field-Based Tip-Enhanced Raman Spectroscopy. Nano Letters. 25(6). 2112–2117. 4 indexed citations
3.
Xie, Zhonglin, Wotao Yin, & Zaiwen Wen. (2025). ODE-Based Learning to Optimize. Mathematical Programming.
4.
Meng, Chao, Zhonglin Xie, Fanfan Lu, et al.. (2025). Breaking the Electric-Dipole Selection Rule via a Plasmonic Nanocavity Excited by a k-Space Filter-Assisted Radial Vector Beam. ACS Photonics. 12(5). 2331–2336. 1 indexed citations
5.
Xie, Zhonglin, et al.. (2025). Plasmonic Fiber Tip-Enhanced Raman Spectroscopy Based on Shear-Force Near-Field Microscopy. Nano Letters. 25(33). 12532–12538.
7.
Chen, Yifan, Zhonglin Xie, Hong Xu, et al.. (2023). LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. 1–6.
8.
Wang, Ruijie, Zhonglin Xie, Lanbo Zhao, et al.. (2022). Clinically Applicable Pathological Diagnosis System for Cell Clumps in Endometrial Cancer Screening via Deep Convolutional Neural Networks. Cancers. 14(17). 4109–4109. 10 indexed citations
9.
Hou, Yuning, Xiaonan Sun, Xiaoqing Guan, et al.. (2022). Epithelial SMYD5 Exaggerates IBD by Down-regulating Mitochondrial Functions via Post-Translational Control of PGC-1α Stability. Cellular and Molecular Gastroenterology and Hepatology. 14(2). 375–403. 14 indexed citations
10.
Ouyang, Changhan, Jian Li, Xiaoxu Zheng, et al.. (2021). Deletion of Ulk1 inhibits neointima formation by enhancing KAT2A/GCN5-mediated acetylation of TUBA/α-tubulin in vivo. Autophagy. 17(12). 4305–4322. 21 indexed citations
11.
Yan, Chenghui, Jiayin Li, Dan Liu, et al.. (2020). A High-Fat Diet Attenuates AMPK α1 in Adipocytes to Induce Exosome Shedding and Nonalcoholic Fatty Liver Development In Vivo. Diabetes. 70(2). 577–588. 66 indexed citations
12.
Lu, Qiulun, Zejun Ma, Ding Ye, et al.. (2019). Circulating miR-103a-3p contributes to angiotensin II-induced renal inflammation and fibrosis via a SNRK/NF-κB/p65 regulatory axis. Nature Communications. 10(1). 2145–2145. 114 indexed citations
13.
Lu, Qiulun, Zhonglin Xie, Chenghui Yan, et al.. (2017). SNRK (Sucrose Nonfermenting 1-Related Kinase) Promotes Angiogenesis In Vivo. Arteriosclerosis Thrombosis and Vascular Biology. 38(2). 373–385. 29 indexed citations
14.
Wu, Yue, Ping Song, Wencheng Zhang, et al.. (2015). Activation of AMPKα2 in adipocytes is essential for nicotine-induced insulin resistance in vivo. Nature Medicine. 21(4). 373–382. 140 indexed citations
15.
Zhu, Huaiping, Marc Foretz, Zhonglin Xie, et al.. (2014). PRKAA1/AMPKα1 is required for autophagy-dependent mitochondrial clearance during erythrocyte maturation. Autophagy. 10(9). 1522–1534. 31 indexed citations
16.
Ouyang, Changhan, Jieyun You, & Zhonglin Xie. (2013). The interplay between autophagy and apoptosis in the diabetic heart. Journal of Molecular and Cellular Cardiology. 71. 71–80. 125 indexed citations
17.
Zou, Ming-Hui & Zhonglin Xie. (2013). Regulation of interplay between autophagy and apoptosis in the diabetic heart. Autophagy. 9(4). 624–625. 92 indexed citations
18.
Xie, Zhonglin, Yunzhou Dong, Miao Zhang, et al.. (2006). Activation of Protein Kinase Cζ by Peroxynitrite Regulates LKB1-dependent AMP-activated Protein Kinase in Cultured Endothelial Cells. Journal of Biological Chemistry. 281(10). 6366–6375. 149 indexed citations
19.
Koyama, Tomiyasu, Zhonglin Xie, Junichi Suzuki, & Kazuhiro Abe. (2003). Expression of Proliferating Cell Nuclear Antigen in Rat Hearts Subjected to Transient Ischemia Followed by Reperfusion. Advances in experimental medicine and biology. 530. 587–591. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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